A. Coston, N. Guha, L. Lu, D. Ouyang, A. Chouldechova, and D. Ho. "Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy." ACM Conference on Fairness, Accountability, and Transparency, 2021. [Paper] [ArXiv] [Talk]

A. Coston, A. Rambachan, and A. Chouldechova. "Characterizing Fairness over the Set of Good Models Under Selective Labels." International Conference on Machine Learning, 2021 (to appear). [ArXiv]

A. Coston, E. H. Kennedy, and A. Chouldechova. "Counterfactual Predictions under Runtime Confounding." Neural Information Processing Systems, 2020. [Paper] [ArXiv] [Blog]

A. Coston, A. Mishler, E. H. Kennedy, and A. Chouldechova. "Counterfactual Risk Assessments, Evaluation, and Fairness." ACM FAT* 2020. [Paper] [ArXiv] [Talk]

H. Zhao, A. Coston, T. Adel, & G. J. Gordon, (2019). "Conditional learning of fair representations." ICLR 2020. [Paper] [ArXiv] [Talk]

L. Li, R. Zuo, A. Coston, J. C. Weiss, G. H. Chen. "Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate." International Conference on Artificial Intelligence in Medicine, 2020. [Paper] [ArXiv]

A. Coston, K. N. Ramamurthy, D. Wei, K. R. Varshney, S. Speakman, Z. Mustahsan, S. Chakraborty. "Fair Transfer Learning with Missing Protected Attributes," AAAI/ACM Conference on Artificial Intellligence, Ethics, and Society (AIES), 2019. [Paper]


Opioid Epidemic

In 2017, drug overdoses claimed more lives than car accidents. The below maps show opioid hotspots across the United States at various granularities. We used a similarity metric of death rate trajectories derived from Fisher's exact test to perform hierarchical clustering.
County Map 100 clusters 10 clusters